Upload dyve_tts/upload_hg.py with huggingface_hub

dyve_tts/upload_hg.py

@@ -0,0 +1,45 @@
+from huggingface_hub import HfApi
+from pathlib import Path
+import os
+
+# 配置信息
+repo_id = "zeju-0727/dyve_TTS_test_code"
+local_folder = Path("/data/zeju/Dyve_TTS")  # 本地文件夹路径
+repo_type = "dataset"  # 可以是 "model" 或 "dataset"
+target_dir = "dyve_tts"  # 仓库中的目标目录
+
+# 登录（更安全的方式，token会保存在缓存中）
+api = HfApi()
+# 建议通过环境变量或 huggingface-cli login 设置token，而不是硬编码
+
+def upload_folder_to_hf(local_path, repo_id, repo_type, target_dir=""):
+    """上传整个文件夹到HuggingFace Hub"""
+    if not local_path.exists():
+        raise ValueError(f"本地路径不存在: {local_path}")
+    
+    print(f"开始上传文件夹: {local_path} → {repo_id}/{target_dir}")
+    
+    # 遍历文件夹并上传所有文件
+    for file_path in local_path.glob("**/*"):
+        if file_path.is_file():
+            relative_path = file_path.relative_to(local_path)
+            path_in_repo = str(Path(target_dir) / str(relative_path)) if target_dir else str(relative_path)
+            
+            print(f"正在上传: {relative_path}...", end=" ", flush=True)
+            
+            try:
+                api.upload_file(
+                    path_or_fileobj=str(file_path),
+                    path_in_repo=path_in_repo,
+                    repo_id=repo_id,
+                    repo_type=repo_type,
+                )
+                print("✓")
+            except Exception as e:
+                print(f"✗ 失败: {str(e)}")
+                continue
+
+    print("文件夹上传完成！")
+
+if __name__ == "__main__":
+    upload_folder_to_hf(local_folder, repo_id, repo_type, target_dir)